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# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# [START workflows_api_quickstart]
import os
import time
from google.cloud import workflows_v1
from google.cloud.workflows import executions_v1
from google.cloud.workflows.executions_v1 import Execution
from google.cloud.workflows.executions_v1.types import executions
PROJECT = os.getenv("GOOGLE_CLOUD_PROJECT")
LOCATION = os.getenv("LOCATION", "us-central1")
WORKFLOW_ID = os.getenv("WORKFLOW", "myFirstWorkflow")
def execute_workflow(project: str, location: str, workflow: str) -> Execution:
"""Execute a workflow and print the execution results.
A workflow consists of a series of steps described
using the Workflows syntax, and can be written in either YAML or JSON.
Args:
project: The Google Cloud project id
which contains the workflow to execute.
location: The location for the workflow
workflow: The ID of the workflow to execute.
Returns:
The execution response.
"""
# [START workflows_api_quickstart_client_libraries]
# Set up API clients.
execution_client = executions_v1.ExecutionsClient()
workflows_client = workflows_v1.WorkflowsClient()
# [END workflows_api_quickstart_client_libraries]
# [START workflows_api_quickstart_execution]
# Construct the fully qualified location path.
parent = workflows_client.workflow_path(project, location, workflow)
# Execute the workflow.
response = execution_client.create_execution(request={"parent": parent})
print(f"Created execution: {response.name}")
# Wait for execution to finish, then print results.
execution_finished = False
backoff_delay = 1 # Start wait with delay of 1 second
print("Poll for result...")
while not execution_finished:
execution = execution_client.get_execution(
request={"name": response.name}
)
execution_finished = execution.state != executions.Execution.State.ACTIVE
# If we haven't seen the result yet, wait a second.
if not execution_finished:
print("- Waiting for results...")
time.sleep(backoff_delay)
# Double the delay to provide exponential backoff.
backoff_delay *= 2
else:
print(f"Execution finished with state: {execution.state.name}")
print(f"Execution results: {execution.result}")
return execution
# [END workflows_api_quickstart_execution]
if __name__ == "__main__":
assert PROJECT, "'GOOGLE_CLOUD_PROJECT' environment variable not set."
execute_workflow(PROJECT, LOCATION, WORKFLOW_ID)
# [END workflows_api_quickstart]